Composition effect on melting behaviors of Cu-Au-Pt trimetallic nanoalloys
Graphical abstract
Introduction
Interest in nanoalloys arises from their tunable chemical and physical properties depending on size and composition [1], [2]. This specificity of nanoalloys, indicating that the behaviors differ greatly from those of bulk alloys and individual atoms, brings about their usage in a large variety of applications ranging from catalysis to optoelectronics, magnetism, optics and biomedicine [3], [4], [5]. Size and alloying effects provide an important advantage particularly in the use of nanoparticles as catalysts because it is well known that nanoalloys have high surface –volume ratio which enhances the catalytic activity [6], [7], [8]. In this context, it can be used in a small amount of metals which are rare reserve and expensive [9].
Proton exchange membrane (PEM) fuell cells which can adequately convert the chemical energy into electricity through an electrochemical reactions, are promising techonolgy to decrease the subjection on the fossil fuel energy [10]. They are also used as distributed generation sources due to their clean, high energy efficiency and high power density advantages [11]. For commercialization of PEM fuell cells, it needs to overcome some important issues such as high stability, activity, cost reduction and durability improvement [12]. Pt-based nanoparticles and nanoalloys receive a significant amount of interest due to their promising catalytic activities especially for oxygen reduction reaction (ORR) and methanol oxidation reaction (MOR) in PEM fuel cells [13]. A clear synergistic effect between Pt and Au atoms was mentioned in some studies show the enhanced durability of Pt-based electrocatalysts with addition of Au transition metal [14], [15]. Compared to bimetallic and monometallic nanoparticles, recently, Pt-based trimetallic nanoalloys have attracted more attention due to their excellent catalytic activities of PEM electrocatalysts [16]. In order to reduce the use of expensive Pt and Au atoms, Pt-based trimetallic nanoalloy catalysts have been developed with addition of a third cheap metal [17]. Thus, Pt-Au-Cu trimetallic nanoalloys are of interest in this study as one of the most promising trimetallic nanoalloy catalysts because of that lattice constants and melting points differences of Cu, Au and Pt atoms are moderately [18].
The phase transition which plays a crucial role to understand thermal behavior of nanoalloy structures has been centeral to theoretical, experimental and also simulation studies by reason of the fact that having knowledge about the temperature at which the structural stability changes is very important issue especially for catalytic applications [19]. One important way to analyze structural changes is to examine the melting process in detail. As is very well known, the melting behaviors of nanoalloys is more complex than the bulk alloys [6]. This is because, the melting of nanoalloys occurs in a range of temperature but bulk matters have a specific melting temperature [20]. This discrepancy of melting behaviors is attributed to size effect. However, there is not sufficient data about the geometric structure and composition effects on melting process of nanoalloys. Accordingly, how the geometric structure and constituent atoms of the nanoalloys effect the melting process is needed to be investigated further.
Core-shell nanoalloys have been discussed in several simulation studies due to the fact that core and shell can change the significant chemical and physical properties which are important in identifing particularly catalytic activities [21], [22]. Icosahedral core-shell nanoalloys with high symmetry have gained increasing interest in consequence of exhibiting a widescale behavior due to their adjustable constituent atoms on the core and shell. Also, constituent atoms of the nanoalloys can change the melting process due their different bulk melting temperatures. By taking all properties above mentioned into consideration, we have focused on melting of icosahedral Cu-Au-Pt nanoalloys with 55 atoms. The choice reason of this size is that 55 is a geometric magic number for icosahedral structures have quasi-spherical shape and close-packed surface at small sizes [23], [24], [25]. Besides, nanoalloys with less than 100 atoms exhibit more complex melting behaviors with dependence of size and composition [7]. Although in many studies, melting process of momometallic nanoparticles and bimetallic nanoalloys with 55 atoms were investigated in detail [7], [8], [20], [26], [27], [28], [29], [30], [31], [32], [33], there is still lacking a study of geometric structure and composition effects on melting process of trimetallic core-shell nanoalloys with 55 atoms.
Thus, in this study the composition effect on the melting behaviors of 55-atom icosahedral Cu13AunPt42-n, Au13CunPt42-n and Pt13AunCu42-n (n = 1–41) trimetallic nanoalloys were investigated systematically. In order to present the composition effect on the melting behaviors in detail, three different icosahedral compositions corresponding to Cu13Au13Pt29, Au13Cu29Pt13 and Pt13Au29Cu13 were selected from Cu13AunPt42-n, Au13CunPt42-n and Pt13AunCu42-n nanoalloy systems by fixing two different type atom numbers at 13 and thus, melting process of Cu-rich, Au-rich and Pt-rich compositions was investigated. To analyze melting behavior of three compositions with different Cu, Au and Pt atom content, their best chemical ordering structures were used initially. Their melting behaviors were investigated thoroughly by using caloric curve, Lindemann index, heat capacity and RMSD methods.
Section snippets
Simulation method
To investigate the composition effect on the thermal behavior, molecular dynamics (MD) simulations were performed on 55-atom icosahedral Cu13AunPt42-n, Au13CunPt42-n and Pt13AunCu42-n (n = 1–41) nanoalloy systems. The best chemical ordering structures of trimetallic nanoalloys were optimized by GMIN programme [34], [35] using Basin-Hopping algorithm [36], [37]. Since the chemical ordering of icosahedral structures was optimized, in order to search best chemical ordering, only local relaxations
Results and discussion
In order to investigate the composition effect on the melting behavior of icosahedral Cu-Au-Pt trimetallic nanoalloys with 55 atoms, MD simulations were performed on icosahedral Cu13AunPt42-n, Au13CunPt42-n and Pt13AunCu42-n (n = 1–41) nanoalloy systems. The heating rate values vary between 0.8 and 100 K/ns in literature [7], [44], [45], [46], [47], [48]. In present study, the heating rate was used as 4.3 K/ns. Also, the suitability of the MD simulations for melting process was tested by
Conclusions
In this study, to investigate the composition effect on the melting process, molecular dynamics simulations were performed on 55-atom icosahedral Cu13AunPt42-n, Au13CunPt42-n and Pt13AunCu42-n (n = 1–41) nanoalloy systems. Caloric curve, Lindemann index, heat capacity and RMSD analysis were used to identify the melting transition of nanoalloys. The analysis results show that the phase transition occurs in a range of temperatures and the phase transition temperature of trimetallic nanoalloys is
Declaration of Competing Interest
None declared.
Acknowledgements
DL_POLY_4 which is a MD simulation package developed at Daresbury Laboratory by I.T. Todorov and W. Smith was obtained from the website http://www.ccp5.ac.uk/DLPOLY.
References (56)
Metal nanoparticles and nanoalloys
Front. Nanosci.
(2012)- et al.
Dealloyed PtAuCu electrocatalyst to improve the activity and stability towards both oxygen reduction and methanol oxidation reactions
Electrochim. Acta
(2016) - et al.
Icosahedral Ir, Rh, Pt, and Cu nanoclusters into gold vapor environment: Thermodynamic and structural analysis of the formed core@shell nanoclusters using MD simulations
J. Alloys Compd.
(2018) - et al.
Ni-Co bimetallic nanoparticles with core-shell, alloyed, and Janus structures explored by MD simulation
J. Mol. Liq.
(2017) - et al.
Competition between structural motifs in gold-platinum nanoalloys
Comput. Theor. Chem.
(2013) - et al.
Au@Pt and Pt@Au nanoalloys in the icosahedral and cuboctahedral structures: Which is more stable?
J. Mol. Liq.
(2017) - et al.
Grand canonical molecular dynamics simulations of Cu-Au nanoalloys in thermal equilibrium using reactive ANN potentials
Comput. Mater. Sci.
(2015) - et al.
Effects of pressure, nanoalloy size, and nanoalloy mole fraction on melting of Ir-Rh nanoalloys using molecular dynamics simulations
J. Alloys Compd.
(2017) - et al.
Melting properties of noble metal clusters
Solid State Commun.
(2000) - et al.
Thermal behavior of Cu-Co bimetallic clusters
Solid State Commun.
(2001)
A DAFT DL_POLY distributed memory adaptation of the Smoothed Particle Mesh Ewald method
Comput. Phys. Commun.
Large scale structural optimization of trimetallic Cu–Au–Pt clusters up to 147 atoms
Chem. Phys. Lett.
Effect of pressure on some properties of Ag@Pd and Pd@Ag nanoclusters
J. Alloys Compd.
Determination of melting mechanism of Pd24Pt14nanoalloy by multiple histogram method via molecular dynamics simulations
Chem. Phys.
Structural transition and melting of onion-ring Pd-Pt bimetallic clusters
Chem. Phys. Lett.
A theoretical study of atom ordering in copper-gold nanoalloy clusters
J. Mater. Chem.
Cluster size effects
Z. Phys. D: At., Mol. Clusters.
Magic polyicosahedral core-shell clusters
Phys. Rev. Lett.
Thermodynamics of nanoalloys
Phys. Chem. Chem. Phys.
Structure, melting, and thermal stability of 55 atom Ag-Au nanoalloys
J. Phys. Chem. C.
Structural evolution of Pt-Au nanoalloys during heating process: Comparison of random and core-shell orderings
Phys. Chem. Chem. Phys.
Nanoalloys: from theory to applications of alloy clusters and nanoparticles
Chem. Rev.
A review on non-precious metal electrocatalysts for PEM fuel cells
Energy Environ. Sci.
Dynamic models and model validation for PEM fuel cells using electrical circuits
IEEE Trans. on Energy Convers.
Review: Durability and degradation issues of PEM fuel cell components
Fuel Cells
Stabilization of platinum oxygen-reduction electrocatalysts using gold clusters
Science
Decoupling strain and ligand effects in ternary nanoparticles for improved ORR electrocatalysis
Phys. Chem. Chem. Phys.
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